micrisor / NAT-MLLinks
☆33Updated 3 years ago
Alternatives and similar repositories for NAT-ML
Users that are interested in NAT-ML are comparing it to the libraries listed below
Sorting:
- ☆55Updated 2 years ago
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆41Updated 2 weeks ago
- ☆34Updated 5 months ago
- A deep-learning framework for multi-omics integration☆26Updated last year
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images☆49Updated 2 weeks ago
- Deep-Learning framework for multi-omic and survival data integration☆82Updated last year
- Code for paper "A deep profile of gene expression across 18 human cancers"☆25Updated 6 months ago
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆29Updated 2 months ago
- ☆34Updated 3 years ago
- Reproducing the experiments of the DestVI paper☆18Updated 3 years ago
- ☆11Updated 5 years ago
- domain adaptation of spatial and single-cell transcriptome☆27Updated 9 months ago
- The Single-Cell Pathology Landscape of Breast Cancer☆26Updated 5 years ago
- Clinical data for the TCGA PanCancer Atlas☆15Updated 5 years ago
- ☆42Updated 6 months ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆67Updated 7 months ago
- ☆14Updated last year
- Containerized cancer subtype prediction tools for gene expression, miRNA, DNA methylation, somatic mutations and copy number variation.☆24Updated 2 months ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆54Updated 11 months ago
- ☆28Updated 2 years ago
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆57Updated last year
- Sub-cellular spatial transcriptomics Cell Segmentation☆66Updated last year
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆48Updated last year
- ☆66Updated last year
- Super-resolved spatial transcriptomics by deep data fusion☆74Updated 2 years ago
- Fusion strategies to build multimodal predictors for the prediction of immunotherapy response in non-small cell lung cancer☆11Updated 5 months ago
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆56Updated last year
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆13Updated 3 years ago
- ☆42Updated 3 years ago